BayesESS: Determining Effective Sample Size

Determines effective sample size of a parametric prior distribution in Bayesian models. For a web-based Shiny application related to this package, see <https://implement.shinyapps.io/bayesess/>.

Version: 0.1.19
Depends: MCMCpack, stats, LaplacesDemon
Imports: Rcpp, dfcrm, MatrixModels, MASS
LinkingTo: Rcpp, RcppArmadillo, RcppEigen
Suggests: knitr, rmarkdown
Published: 2019-11-25
Author: Jaejoon Song, Satoshi Morita, J. Jack Lee
Maintainer: Jaejoon Song <jaejoonsong at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: BayesESS results

Documentation:

Reference manual: BayesESS.pdf

Downloads:

Package source: BayesESS_0.1.19.tar.gz
Windows binaries: r-devel: BayesESS_0.1.19.zip, r-release: BayesESS_0.1.19.zip, r-oldrel: BayesESS_0.1.19.zip
macOS binaries: r-release (arm64): BayesESS_0.1.19.tgz, r-oldrel (arm64): BayesESS_0.1.19.tgz, r-release (x86_64): BayesESS_0.1.19.tgz
Old sources: BayesESS archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BayesESS to link to this page.